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💫 Industrial-strength Natural Language Processing (NLP) in Python
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Matthew Honnibal 7d3c40de7d * Tests passing after refactor. API has obvious warts, particularly in Token and Lexeme
2015-01-15 00:33:16 +11:00
bin/parser * Add parser training script 2015-01-10 04:53:26 +11:00
docs * Update docs 2014-12-30 21:20:34 +11:00
spacy * Tests passing after refactor. API has obvious warts, particularly in Token and Lexeme 2015-01-15 00:33:16 +11:00
tests * Tests passing after refactor. API has obvious warts, particularly in Token and Lexeme 2015-01-15 00:33:16 +11:00
.gitignore * Ignore cpp files within en dir 2014-12-23 15:19:01 +11:00
.travis.yml * Allow pypy test to fail 2015-01-06 13:13:04 +11:00
dev_setup.py * Upd dev_setup 2015-01-03 21:02:03 +11:00
fabfile.py * Fix pos command 2015-01-09 05:14:45 +11:00
README.md Initial commit 2014-07-04 01:15:40 +10:00
requirements.txt * Pin preshed to a particular version 2014-12-20 04:01:32 +11:00
setup.py * Inc version 2015-01-09 05:14:29 +11:00

README.md

spaCy

Lightning fast, full-cream NL tokenization. Tokens are pointers to rich Lexeme structs.